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  3. AI Planning for Autonomy
  4. Eligibility and requirements

AI Planning for Autonomy (COMP90054) // Eligibility and requirements

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Eligibility and requirements

Prerequisites

To enrol in this subject, students must satisfy one of these conditions:
  • Be admitted into the 100 pt program of the MC-IT (Master of Information Technology)
  • Be admitted into the Master of Science (Computer Science)
 OR
 
have completed one of the following subjects:

Code Name Teaching period Credit Points
COMP20007 Design of Algorithms
Semester 1 (On Campus - Parkville)
 12.5
COMP90038 Algorithms and Complexity
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
 12.5
COMP20003 Algorithms and Data Structures
Semester 2 (On Campus - Parkville)
 12.5
ENGR30003 Numerical Programming for Engineers
Semester 2 (On Campus - Parkville)
 12.5

Corequisites

None

Non-allowed subjects

None

Recommended background knowledge

SWEN20003 Object Oriented Software Development or COMP90041 Programming and Software Development

Basic understanding of logic and set theory. Basic understanding of introductory probability theory.

 

Inherent requirements (core participation requirements)

The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.

Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home

Last updated: 3 November 2022